Search: id:"swepub:oai:DiVA.org:liu-148362" >
Energy optimization...
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Zhan, JinyuUniv Elect Sci and Technol China, Peoples R China
(author)
Energy optimization of security-sensitive mixed-criticality applications for distributed real-time systems
- Article/chapterEnglish2018
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ACADEMIC PRESS INC ELSEVIER SCIENCE,2018
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LIBRIS-ID:oai:DiVA.org:liu-148362
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https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148362URI
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https://doi.org/10.1016/j.jpdc.2018.02.014DOI
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
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Funding Agencies|National Natural Science Foundation of China [61003032]; Research Fund of National Key Laboratory of Computer Architecture [CARCH201501]; Open Project Program of the State Key Laboratory of Mathematical Engineering and Advanced Computing [2016A09]
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Existing studies on mixed-criticality systems are usually safety-oriented, which seriously ignore the security and energy related requirements. In this paper we are interested in the design of security-sensitive mixed-criticality real-time systems. We first establish the system model to capture security-critical applications in mixed-criticality systems. Higher security-criticality protection always results in significant time and energy overhead in mixed-criticality systems. Thus, this paper proposes a system-level design framework for energy optimization of security-sensitive mixed-criticality system with hard real-time constraints. Since the time complexity of finding optimal solutions grows exponentially as problem size grows, a GA (Genetic Algorithm) based on efficient heuristic algorithm is devised to address the system-level optimization problem. Extensive experiments and a real-life case study have been conducted to show the efficiency of the proposed technique, which can obtain balanced minimal energy consumption while satisfying strict security and timing constraints. The proposed approach can save up to 28.9% energy consumption compared with other three candidates. (C) 2018 Elsevier Inc. All rights reserved.
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Zhang, XiaUniv Texas Dallas, TX 75083 USA
(author)
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Jiang, WeiUniv Elect Sci and Technol China, Peoples R China
(author)
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Ma, YueUniv Notre Dame, IN 46556 USA
(author)
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Jiang, KeLinköpings universitet,Programvara och system,Tekniska fakulteten(Swepub:liu)keji38
(author)
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Univ Elect Sci and Technol China, Peoples R ChinaUniv Texas Dallas, TX 75083 USA
(creator_code:org_t)
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In:Journal of Parallel and Distributed Computing: ACADEMIC PRESS INC ELSEVIER SCIENCE117, s. 115-1260743-73151096-0848
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